ModelRefs / Become an LLM Engineer — AI Learning Pathway
Become an LLM Engineer — AI Learning Pathway
Specialize in serving, optimizing, and adapting LLMs. Engineer LLM infrastructure end-to-end. A 90-hour advanced path.
Overview
Specialize in serving, optimizing, and adapting LLMs.
What you will be able to do
- Serve LLMs efficiently (vLLM, TGI)
- Quantize and distill
- Fine-tune and align
- Operate at scale
Pathway phases
- Serving — Throughput and latency.
- Adapt — FT and alignment.
- Ops — Reliability and rollout.
Continue your research
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Frequently asked questions
What will I learn in Become an LLM Engineer?
Serve LLMs efficiently (vLLM, TGI) Quantize and distill Fine-tune and align
How long does Become an LLM Engineer take?
Approximately 90 hours across 3 phases.
What projects are included?
vLLM Deployment • LoRA Training Pipeline • LLM Observability • Multi-Model Cost Router